Hello, thanks for reaching out, the main focus of the project is to implement a stable and fast version of NEAT, that works with Arbitrary functions, see https://www.ensmallen.org/docs.html#function-type-documentation for more information (all we need is a function that implements the Evaluate method). For testing, you could select from https://github.com/mlpack/ensmallen/tree/master/include/ensmallen_bits/problems or implement your own function e.g. another example might be to test it on a game like Mario, see https://github.com/zoq/gym_tcp_api for more information.
I hope anything I said was helpful, let me know if I should clarify anything. Thanks, Marcus > On 1. Mar 2019, at 20:46, ButtWait! <[email protected]> wrote: > > It’s regarding NEAT project > I do not understand what exactly are we suppose to code. I mean it says we > need to work the algorithm on different test functions but what exactly are > the test function. > I be happy if you can give me an example regarding it. > Are we suppose to develop an general code which will apply neural evolution > on any thing?? > > _______________________________________________ > mlpack mailing list > [email protected] <mailto:[email protected]> > http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack > <http://knife.lugatgt.org/cgi-bin/mailman/listinfo/mlpack>
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